Grad CAM for multiple input arguments

[IshitaB28]

I am trying to use GradCam on my model that takes more than one input arguments. I tried to pass *input_tensor instead of input_tensor since I have a list of 4 arguments. I was trying to modify the source code accordingly. I am facing a series of errors. I am at this point now:
Traceback (most recent call last):
File "/home/ishita-wicon/Documents/QA/ISIQA/UNET/expl_exp.py", line 449, in
grayscale_cam = cam(input_tensor=[left_patches, right_patches, left_image_patches, right_image_patches], targets=targets)
File "/home/ishita-wicon/.local/lib/python3.10/site-packages/pytorch_grad_cam/base_cam.py", line 192, in call
return self.forward(input_tensor,
File "/home/ishita-wicon/.local/lib/python3.10/site-packages/pytorch_grad_cam/base_cam.py", line 105, in forward
cam_per_layer = self.compute_cam_per_layer(*input_tensor, #changes to * for list
TypeError: BaseCAM.compute_cam_per_layer() takes 4 positional arguments but 7 were given

Is there any other way?